Product Manager
New
P
Pratham InternationalEdTech
Remote - India, Openness to work across 2-3 time zones in a day - with teams spread across India, the US, Africa and Latin America.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5–8 years of professional experience, with at least 3 years in a product management role.
- Required Skills
- Product ManagementPrototypingData analyticsA/B testingGenerative AI
Requirements
- 5–8 years of professional experience
- At least 3 years in a product management role
- Demonstrated experience taking technical products from conception to launch
- Experience with product vision, go-to-market strategy, and design discussions
- Ability to use current tools to prototype, build dashboards, and design feedback experiments independently
- Exceptional written and verbal communication
- Openness to work across 2-3 time zones
Responsibilities
- Own the problem definition process: synthesise field signals, program goals, and Pratham’s pedagogical principles into clear product opportunities.
- Develop and maintain the product roadmap, making principled prioritization decisions that balance educational impact, technical feasibility, and organizational timelines.
- Hold the product vision steady in a multi-funder environment, knowing when to absorb external input and when to protect core product integrity.
- Write problem statements and solution briefs for AI, analytics, and software teams— serving as the connective tissue across functions that do not always speak the same language.
- Collaborate with Pratham’s field implementation, technology, educational program teams and funder stakeholders, translating requirements into decisions the team can act on.
- Champion responsible AI practices — including data privacy and age-appropriate design — in all products built for children.
- Work closely with analytics, measurement and development teams from concept through launch and iteration.
- Define and track products via quantitative methods, translating qualitative work into numbers to better assess feedback
- Design and run A/B testing experiments
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